{"id":42699,"date":"2021-06-07T13:47:00","date_gmt":"2021-06-07T13:47:00","guid":{"rendered":"http:\/\/sticky-highjinx.flywheelsites.com\/?p=42699"},"modified":"2025-03-03T08:15:40","modified_gmt":"2025-03-03T13:15:40","slug":"the-dirty-little-secrets-of-business-intelligence-bi-six-challenges-to-adoption","status":"publish","type":"post","link":"https:\/\/envistacorp.techyscouts.dev\/en-au\/2021\/06\/07\/the-dirty-little-secrets-of-business-intelligence-bi-six-challenges-to-adoption\/","title":{"rendered":"The Dirty Little Secrets of Business Intelligence (BI): Six Challenges to Adoption"},"content":{"rendered":"Reading Time: <\/span> 3<\/span> minutes<\/span><\/span>\n

In a competitive environment where data is the new currency, the company with the best business intelligence (BI) usually wins. Bringing together different data sources ranging from customer data to macroeconomic factors to company financials, businesses that are best able to collaborate using keen insights from data make better decisions with greater resiliency and agility. That\u2019s a big reason why 83 percent of enterprise executives are pursuing big data projects, according to Forbes<\/a>. Unfortunately, if BI were easy, more industry-leading companies would have done it already. <\/p>\n\n\n\n

Below are a few challenges many organisations face in the adoption of BI<\/strong><\/h2>\n\n\n\n

Lack of Alignment on a Company-Wide Data Strategy<\/strong><\/h3>\n\n\n\n

For too many businesses, deciding on a company-wide data strategy can be too complex, as data \u201cowners\u201d dig in their heels and resist change. Justifying investment in business intelligence enablers can be difficult in the face of more urgent (but not more important) investment areas.<\/p>\n\n\n\n

Difficulty With Implementation<\/strong><\/h3>\n\n\n\n

Even when BI investment strategies align and projects move forward, challenges often arise in implementation. Stitching all the different data sources together isn\u2019t nearly as easy as expected. Executive sponsorship, staff changes and lack of a committed leadership \u201cchampion\u201d can all make implementations more difficult than anticipated. Sometimes third-party implementation partners over promise and under deliver.<\/p>\n\n\n\t\t

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$9.7 million and $14.2 million<\/a> annually. In the U.S. alone, bad data is estimated to cost more than $3 trillion per year<\/a>.<\/p>\n\n\n\n

Poor Integration and Slugglish Database Performance<\/strong><\/h3>\n\n\n\n

And even when the stars align, data quality is good and the data integration is moving forward, run-time technical issues can arise. Poor integration and sluggish database performance can make your most visible executive dashboards slow to refresh. Sometimes the numbers look funny to your organisation\u2019s key stakeholders, causing every generated report to be heavily scrutinized.<\/p>\n\n\n\n

Slow User Adoption<\/strong><\/h3>\n\n\n\n

That can lead to user adoption issues. Today\u2019s users expect to benefit from self-service analytics without having extensive technical expertise or calling IT or a business analyst. But in reality, this concept of \u201cdata democratization\u201d is a myth for too many companies. Sometimes the mobile user experience is a fraction of the big-screen experience as user interfaces try to cram too much information in too small of a footprint.<\/p>\n\n\n\n

Lack of Data-Driven Culture<\/strong><\/h3>\n\n\n\n

The related lack of a \u201cdata-driven culture\u201d can be a critical barrier. Many organisations are hardwired to make decisions based on anecdote, history, senior executive experiences and sometimes even the most recent conversation with a customer. The effective use of BI requires a collective belief system comprised of employees who truly value, act, support, and encourage the use of data-based insights to improve decision-making.<\/p>\n\n\n\n

As these challenges proliferate that promised \u2018single version of the truth\u2019 drift miles away. Stakeholders begin falling back on old habits- allowing multiple, massive spreadsheets (under various states of revision) to proliferate across the enterprise.<\/p>\n\n\n\n

If any of these challenges seem familiar, your organisation is not alone. According to a Forrester Total Economic Impact\u2122 analysis on The Total Economic Impact\u2122 Of Microsoft Power BI<\/a><\/em>, there are three main challenges driving Power BI adoption<\/a>:<\/p>\n\n\n\n